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CN105422088A - Coal mine roadway geological parameter on-line monitoring system - Google Patents

Coal mine roadway geological parameter on-line monitoring system
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Publication number
CN105422088A
CN105422088ACN201510764925.8ACN201510764925ACN105422088ACN 105422088 ACN105422088 ACN 105422088ACN 201510764925 ACN201510764925 ACN 201510764925ACN 105422088 ACN105422088 ACN 105422088A
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rock
case motor
feed cylinder
sensor
monitoring system
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CN105422088B (en
Inventor
张小刚
赫广杰
郭治富
贾运红
张维果
左岗永
王文华
张晓鹍
李鹏
张强
王威
张东宝
杨旗
张礼才
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Taiyuan Institute of China Coal Technology and Engineering Group
Shanxi Tiandi Coal Mining Machinery Co Ltd
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Taiyuan Institute of China Coal Technology and Engineering Group
Shanxi Tiandi Coal Mining Machinery Co Ltd
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Abstract

The invention belongs to the technical field of geological parameter detection measurement, aims at overcoming the deficiency and limitation that existing anchor rod drilling machines adopting the rotation cutting method cannot conduct reasonable support according to the actual roadway geological conditions and provides a coal mine roadway geological parameter on-line monitoring system. The system comprises sensor detection elements, a data conversion module and a human-computer interface, roadway geological parameters such as a rock crack and the position and thickness thereof, a stratum surface limit and the position thereof and rock lateral-confinement-free compressive strength can be identified conveniently through four drilling parameters obtained by sensors, such as the oil cylinder feeding force and feeding speed and the drilling box motor rotating torque and rotating speed, hardness grading is further conducted on a back, the roadway geological parameters are judged so that anchoring protection parameters and drilling parameters can be adjusted and improved, and the deficiency and limitation that existing anchor rod drilling machines adopting the rotation cutting method can only conduct pure anchoring drilling operation and cannot conduct reasonable support according to the actual roadway geological conditions are overcome.

Description

A kind of coal mine roadway geologic parameter on-line monitoring system
Technical field
The invention belongs to geologic parameter and detect the technical field measured, be specifically related to a kind of coal mine roadway geologic parameter on-line monitoring system.
Background technology
At present, coal mine down-hole tunnel generally adopts bolt support, conventional support pattern has artificial hand drill and hydraulic jumbolter, but Anchor Care parameter designing still continues to use the conventional method such as engineering analog method, empirical formula method, often there is Anchor Care or deficient Anchor Care situation, cross Anchor Care to cause and waste and lower efficiency, deficient Anchor Care makes that roadway deformation is excessive even causes danger; In addition, no longer change after hydraulic jumbolter data of holes drilled sets usually, only have and just artificially adjust parameter after failure, there is the problems such as the low and drilling life of bit of boring poor continuity, drilling efficiency is short.
And the parameter monitoring system of the underground coal mine used at present, as the underground coal mine underground drill rig multiple terminals parameter monitoring system that application number is 201210186144.1, (pressure, oil tank liquid level, oil liquid temperature, the revolution rotating speed etc.) monitoring to downhole parameters and collection can only be realized, namely the Main Function of this system is monitoring, state and the parameter of Rock in Well can not be judged by driller parameters, thus cannot adjustment down-hole Anchor Care parameter further.
Summary of the invention
The present invention, in order to revise Anchor Care parameter and data of holes drilled in time, avoids the situation occurring Anchor Care or deficient Anchor Care, provides a kind of coal mine roadway geologic parameter on-line monitoring system.
The present invention adopts following technical scheme:
A kind of coal mine roadway geologic parameter on-line monitoring system, comprise sensor detecting element, data conversion module and man-machine interface, described sensor detecting element comprises feed cylinder pressure sensor, bore case motor pressure sensor, external magnetostrictive displacement sensor and hall-effect speed sensor, feed cylinder pressure sensor is installed on the feed cylinder oil-in place of jumbolter, bore the brill case motor oil-in place that case motor pressure sensor is installed on jumbolter, external magnetostrictive displacement sensor is installed on the cylinder body of feed cylinder, hall-effect speed sensor is installed on the housing of brill case motor,
Described data conversion module comprises interface module and microcontroller, the data of holes drilled isolation that sensor detecting element collects by interface module is converted to the signal of telecommunication, the signal of telecommunication after interface module conversion is converted to geologic parameter by microcontroller, and geologic parameter is sent to man-machine interface and carries out Identification display.
The outer wall of cylinder block of described feed cylinder is provided with chain and sprocket driving device, external magnetostrictive displacement sensor is connected with chain and sprocket driving device by slide block, external magnetostrictive displacement covers disposed on sensor has measuring staff mount pad, and measuring staff mount pad is installed on the framework of jumbolter.
Described data of holes drilled comprises:
The centripetal force of feed cylinder, is recorded by feed cylinder pressure sensor;
The feed speed of feed cylinder, by acquisition of differentiating to the bit location of jumbolter, bit location is recorded by external magnetostrictive displacement sensor;
Bore the turning moment M of case motor, calculated by the inlet pressure difference and discharge capacity q of boring case motor and obtain:, bore case motor inlet pressure differencerecord by boring case motor pressure sensor;
Bore the rotary speed of case motor, recorded by hall-effect speed sensor.
Described geologic parameter comprises rock fracture position and thickness, rock layer surface boundary and position thereof and rock unconfined compressive intensity, and the concrete recognition methods of each geologic parameter is:
Rock fracture position and thickness thereof, occur that the centripetal force fall at trough place and rise time judge according in the centripetal force of feed cylinder during boring and the bit location curve of jumbolter, if there is trough and bilateral symmetry in curve, and the centripetal force fall at trough place is no less than 50%, and rise to value before declining in 1s, then show that this trough drill hole exists rock fracture, trough width is rock fracture thickness;
Rock layer surface boundary and position thereof, differentiate according to the brill case motor rotary speed recorded and draw rotary acceleration-bit location curve, there is skip signal in position curve figure, then judge to there is rock layer surface boundary, occur that the bore position of skip signal is rock layer surface boundary;
Rock unconfined compressive intensity, the feed cylinder centripetal force F measured by sensor detecting element and feed speed PR, and bore the turning moment T of case motor and rotary speed N tetra-parameters calculate rock unconfined compressive strength S,.
Described rock fracture position and thickness thereof also can judge according to the speed crest bored in case motor feed speed-bit location curve, if there is crest and the feed speed ascensional range at bilateral symmetry, crest place is no less than 40%, drop in 2s rise before value, then judge to there is rock fracture, wave peak width is rock fracture thickness.
Described bit location parameter adopts the method for sampling that exponent data is level and smooth, determines certain point value X, adopts each 5 numerical value in the front and back of this numerical value neighborhood, obtain according to different weight ratio weighting:
Wherein:the numerical value of i-th after data smoothing;
the numerical value of j point before and after currency i-th;
weight shared by j point value before and after currency i-th.
The relative X point of described 5 numerical value proportion range is from far near 0.87%-18.7%.
The present invention has following beneficial effect:
1, monitoring system of the present invention is by feed cylinder centripetal force, feed speed, bore case motor torque square and rotary speed four data of holes drilled, rock fracture position and thickness can be identified quickly and easily, rock layer surface boundary and the tunnel geologic parameter such as position and rock unconfined compressive intensity thereof, and then hardness classification is carried out to back, and tunnel geologic parameter is judged, thus adjustment improves Anchor Care parameter and data of holes drilled, the jumbolter solving existing employing rotary cutting method is only that simple anchor bores operation, deficiency and the limitation of Reasonable Support cannot be carried out according to the actual geological conditions in tunnel,
2, the conversion of the data-signal of collection is directly shown in the man-machine interface of roofboltier driver behavior indoor by sensor detecting element and data conversion module by described system, for intelligent anchor bores control procedure, avoid the safety problem because existing in the operating process of staff construction ground;
3, present invention employs the data handling procedure of data smoothing and sampling, can eliminate data undue fluctuation and overcome the overstocked problem of data acquisition, data processing accuracy is high;
4, present system can install corresponding sensor additional on existing jumbolter, and configuration data modular converter and man-machine interface interface can realize, and is suitable for promoting the use of at geology construction fields such as collieries.
Accompanying drawing explanation
Fig. 1 is detection system block diagram of the present invention;
Fig. 2 is the scheme of installation of external magnetostrictive displacement sensor;
Fig. 3 is the scheme of installation of hall-effect speed sensor;
Fig. 4 is the curve map of feed cylinder centripetal force-bit location;
Fig. 5 is the rotary acceleration-bit location curve map after data processing;
Fig. 6 is rock unconfined compressive intensity cloud atlas;
In figure: 10-jumbolter, 11-feed cylinder, 12-bore case motor, 13-feed cylinder pressure sensor, 14-brill case motor pressure sensor, 15-external magnetostrictive displacement sensor, 16-hall-effect speed sensor, 17-interface module, 18-microcontroller, 19-man-machine interface, 22-chain and sprocket driving device, 24-measuring staff mount pad, 25-slide block.
Detailed description of the invention
By reference to the accompanying drawings, the specific embodiment of the present invention is described further:
Coal mine roadway geologic parameter on-line monitoring system as shown in Figure 1, comprise sensor detecting element, data conversion module and man-machine interface 19, described sensor detecting element comprises the feed cylinder pressure sensor 13 be installed on jumbolter 10, bore case motor pressure sensor 14, external magnetostrictive displacement sensor 15 and hall-effect speed sensor 16, feed cylinder pressure sensor 13 is installed on the feed cylinder 11 oil-in place of jumbolter 10, bore A mouth and B mouth place that case motor pressure sensor 14 is installed on the brill case motor 12 of jumbolter 10, external magnetostrictive displacement sensor 15 is installed on the cylinder body of feed cylinder 11, hall-effect speed sensor 16 is installed on the housing of brill case motor 12.
As shown in Figure 2, the outer wall of cylinder block of described feed cylinder 11 is provided with chain and sprocket driving device 22, external magnetostrictive displacement sensor 15 is connected with chain and sprocket driving device 22 by slide block 25, external magnetostrictive displacement sensor 15 is provided with measuring staff mount pad 24, and measuring staff mount pad 24 is installed on the framework of jumbolter 10.During feed cylinder 11 action, drive chain and sprocket driving device 22 to drive external magnetostrictive displacement sensor 15 to move, thus utilize external magnetostrictive displacement sensor 15 to record the bit location of feed cylinder 11 jumbolter.
Described data conversion module comprises interface module 17 and microcontroller 18, the data of holes drilled isolation that the collection of sensor detecting element exports by interface module 17 is converted to the treatable signal of telecommunication of microcontroller 18, the signal of telecommunication after the process of microcontroller 18 receiving interface module 17 also carries out computer disposal, according to the program set, the signal of telecommunication after interface module 17 is changed is converted to the geologic parameter of engineering quantity form, and geologic parameter is sent to man-machine interface 19 carries out Identification display with numeral and cloud atlas form.
The systematic parameter (data of holes drilled) that present system is obtained by sensor comprising:
The centripetal force of feed cylinder 11, is obtained by feed cylinder pressure sensor 13;
The feed speed of feed cylinder 11, by acquisition of differentiating to the bit location of jumbolter 10, described bit location is obtained by external magnetostrictive displacement sensor 15;
Bore the turning moment of case motor 12, by oil-in (A mouth and the B mouth) pressure difference value boring case motor 12calculate with discharge capacity q and obtain, pressure difference valueobtain by boring case motor pressure sensor 14;
Bore the rotary speed of case motor 12, obtained by hall-effect speed sensor 16.
Wherein, system data processing procedure comprises data smoothing and sampling, is mainly used in eliminating data undue fluctuation and overcoming the overstocked problem of data acquisition.
Data smoothing method adopts exponent data exponential smoothing, namely determines that certain point value adopts its neighborhood 10 values (each five of both sides) to obtain according to different weight ratio (farthest 0.87% to nearest 18.7%) weighting:
Wherein:the numerical value of i-th after data smoothing,the numerical value of j point before and after currency i-th,weight shared by j point value before and after currency i-th.
The monitoring system sampling time is set as 100ms, meets this system requirements completely, but later data process can cause asking for derivative parameter accuracy problem.Through data smoothing process, bit location parameter is revised, but some large mistakes are still present in bit location data.When data are intensive especially, as penetration rate is slow, the difference (dx) of adjacent data is very little, and then its derivative mistake will be clearly as there is mistake for such bit location data.For this reason, application data sampling on bit location parameter (x) processes, namely from several record extracting data one record data.After data sampling, location variation (dx) increases, and this reduces error probability.
The geologic parameter of described system identification comprises: rock fracture position and thickness, rock layer surface boundary and position thereof and rock unconfined compressive intensity.
Rock fracture position and thickness identification thereof: when boring runs into rock fracture, data of holes drilled feed cylinder centripetal force F declines at least 50% immediately, and rise to value before declining in 1s, draw out feed cylinder centripetal force-bit location curve, as there is trough and bilateral symmetry then judges to there is rock fracture in curve, according to trough width and identifiable design rock fracture thickness, there is position and identifiable design rock fracture position according to trough.Centripetal force as shown in Figure 4-bit location curve, there is rebounding after the three obvious feed pressures in place decline situation in curve, i.e. trough (41,42,43), can judge accordingly to occur that position (A, B, C) rock exists crack at trough, rock fracture size can be obtained according to trough width (44,45,46).In addition, can also be judged by feed speed crest, namely draw out and bore case feed speed-bit location curve, as there is crest and bilateral symmetry then judges to there is rock fracture in curve, can Cracking Thickness be identified according to wave peak width, occur position and identifiable design rock fracture position according to crest.
Rock layer surface boundary and location recognition thereof: this process is mainly used in the rock layer surface boundary differentiating that mechanics intensity difference is larger, and the rock layer surface boundary close for mechanical strength does not identify.Go out rock layer surface boundary according to data of holes drilled (feed cylinder centripetal force, feed speed bore case motor torque square and rotary speed) None-identified, analysis design mothod data find that boring case motor rotary acceleration is the optimal parameter identifying rock layer surface boundary.Such as: when drill bit runs into the large rock of mechanical strength and the little rock surface boundary of mechanical strength, rotary acceleration-bit location curve there will be obvious saltus step, can identify to there is rock layer surface boundary accordingly, occur position and identifiable design rock surface limit positions according to skip signal.Rotary acceleration as shown in Figure 5-bit location curve, in curve, there is seven places rotary acceleration saltus step (51,52,53,54,55,56,57), can judge to there is rock layer surface boundary in rotary acceleration saltus step place (A, B, C, D, E, F, G) accordingly.
Rock unconfined compressive intensity identification: this process comprises feed cylinder centripetal force, feed speed, brill case motor torque square and rotary speed by conventional data of holes drilled, calculate unconfined compression strength theoretically, the scholar of overcoming over utilizes empirical method to ask for the problem of compressive strength accuracy deficiency, computational methods as the formula (1):
(1)
In formula:
S is unconfined compression strength,
F is feed cylinder centripetal force,
PR is feed cylinder feed speed,
N bores case rotary speed,
T is turning moment.
So far, by data of holes drilled (feed cylinder centripetal force, feed speed, bore case motor torque square and rotary speed) tunnel geologic parameter can be identified easily, comprise rock fracture and position thereof and thickness, rock layer surface boundary and position thereof and rock unconfined compressive intensity.Data of holes drilled is shown in real time again by man-machine interface 19, and display rock unconfined compressive intensity cloud atlas as shown in Figure 6, according to the unconfined compression strength color contrast table (61) shown in figure, bit location (62) and rock along hole diameter to unconfined compression strength cloud atlas (63), can clear view rock strength distribution trend, so that for operating personnel with reference to selecting rational Anchor Care parameter and data of holes drilled.
The present invention is according to feed cylinder centripetal force, feed speed, bore case motor torque square, inner link between rotary speed four boring routine techniques parameter and geologic parameter, invent a kind of coal mine roadway geologic parameter on-line monitoring system, this monitoring system judges whether to exist rock fracture and position thereof and thickness according to jumbolter feed cylinder centripetal force, judge whether to there is rock layer surface boundary and position thereof according to rotary acceleration, according to feed cylinder centripetal force, feed speed, brill case turning moment and rotary speed calculate unconfined compression strength in theory, and then hardness classification can be carried out to back, and by man-machine interface display jumbolter technical data and unconfined compression strength cloud atlas.
The present invention, by carrying out Real Time Monitoring, prediction top board state to surrounding rock stability and intensity in Anchor Care process, for correction Anchor Care parameter and data of holes drilled provide foundation, really realizes the dynamic design of Anchor Care parameter and data of holes drilled.From now on, Roadway Support Technology will progressively eliminate the hydraulic anchor rod drill carriage that artificial anchor bores and labour intensity is large fallen behind, the substitute is intelligent anchor to bore, the present invention provides geologic parameter on-line monitoring system for intelligent Anchor Care, intelligent anchor will be promoted and bore support technology development, for tunnel intelligence Anchor Care provides higher practical value and economic worth.
Wherein, the present invention does not make specified otherwise component or module etc. are prior art.

Claims (7)

1. a coal mine roadway geologic parameter on-line monitoring system, comprise sensor detecting element, data conversion module and man-machine interface (19), it is characterized in that: described sensor detecting element comprises feed cylinder pressure sensor (13), bore case motor pressure sensor (14), external magnetostrictive displacement sensor (15) and hall-effect speed sensor (16), feed cylinder pressure sensor (13) is installed on feed cylinder (11) the oil-in place of jumbolter (10), bore brill case motor (12) the oil-in place that case motor pressure sensor (14) is installed on jumbolter (10), external magnetostrictive displacement sensor (15) is installed on the cylinder body of feed cylinder (11), hall-effect speed sensor (16) is installed on the housing of brill case motor (12),
CN201510764925.8A2015-11-112015-11-11Coal mine tunnel geological parameter on-line monitoring systemActiveCN105422088B (en)

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Cited By (15)

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CN105891443A (en)*2016-04-052016-08-24中国铁建重工集团有限公司Tunnel rock stratum geological data collecting and processing method and system
CN107575160A (en)*2017-09-282018-01-12河南理工大学Rock stratum information intelligent bores survey machine
CN107859514A (en)*2016-09-222018-03-30河南理工大学A kind of method based on drilling parameter identification butt entry roof lithology
CN108643884A (en)*2018-04-262018-10-12中国矿业大学A kind of jumbolter propulsion rotary system and its cooperative self-adapted control method
CN109707366A (en)*2019-02-192019-05-03重庆平山矿山机电设备有限公司 Device and method for accurate online measurement and control of drilling rig angle
CN109736771A (en)*2018-12-122019-05-10中国铁建重工集团有限公司Based on drill jumbo with the country rock analysis method and system for boring parameter
CN109989740A (en)*2019-04-102019-07-09中煤科工集团西安研究院有限公司 Intelligent identification system and method for coal-measure formation drilling based on multi-source information fusion
CN111335876A (en)*2020-03-022020-06-26北京四利通控制技术股份有限公司Self-adaptive tracking prediction control method for petroleum drilling well track
CN112360525A (en)*2020-11-092021-02-12中国煤炭科工集团太原研究院有限公司Bolting machine net laying control method and control system
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CN114278222A (en)*2021-12-272022-04-05贵州盘江精煤股份有限公司Deviation rectifying method for drilling track
CN115163055A (en)*2022-07-222022-10-11中煤科工开采研究院有限公司Surrounding rock stability judging, early warning and supporting method
CN115398080A (en)*2020-04-222022-11-25山特维克矿山工程机械工具股份有限公司Intelligent rock anchor rod driver
CN115478884A (en)*2022-09-202022-12-16中国煤炭科工集团太原研究院有限公司Anchor box and drill box switching control system and control method
CN115539011A (en)*2022-09-202022-12-30中国煤炭科工集团太原研究院有限公司Automatic anchor rod drilling machine control system and control method

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CN105891443B (en)*2016-04-052019-01-18中国铁建重工集团有限公司A kind of tunnel rock Geological data collecting processing method and system
CN105891443A (en)*2016-04-052016-08-24中国铁建重工集团有限公司Tunnel rock stratum geological data collecting and processing method and system
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CN107859514A (en)*2016-09-222018-03-30河南理工大学A kind of method based on drilling parameter identification butt entry roof lithology
CN107575160A (en)*2017-09-282018-01-12河南理工大学Rock stratum information intelligent bores survey machine
CN107575160B (en)*2017-09-282024-07-23河南理工大学Intelligent rock stratum information drilling and measuring machine
CN108643884A (en)*2018-04-262018-10-12中国矿业大学A kind of jumbolter propulsion rotary system and its cooperative self-adapted control method
CN108643884B (en)*2018-04-262021-05-18中国矿业大学 A kind of rock bolt drilling rig propulsion and rotation system and its cooperative adaptive control method
CN109736771A (en)*2018-12-122019-05-10中国铁建重工集团有限公司Based on drill jumbo with the country rock analysis method and system for boring parameter
CN109707366A (en)*2019-02-192019-05-03重庆平山矿山机电设备有限公司 Device and method for accurate online measurement and control of drilling rig angle
CN109989740A (en)*2019-04-102019-07-09中煤科工集团西安研究院有限公司 Intelligent identification system and method for coal-measure formation drilling based on multi-source information fusion
CN111335876A (en)*2020-03-022020-06-26北京四利通控制技术股份有限公司Self-adaptive tracking prediction control method for petroleum drilling well track
CN115398080A (en)*2020-04-222022-11-25山特维克矿山工程机械工具股份有限公司Intelligent rock anchor rod driver
CN112360525A (en)*2020-11-092021-02-12中国煤炭科工集团太原研究院有限公司Bolting machine net laying control method and control system
CN114278222A (en)*2021-12-272022-04-05贵州盘江精煤股份有限公司Deviation rectifying method for drilling track
CN115163055A (en)*2022-07-222022-10-11中煤科工开采研究院有限公司Surrounding rock stability judging, early warning and supporting method
CN115478884A (en)*2022-09-202022-12-16中国煤炭科工集团太原研究院有限公司Anchor box and drill box switching control system and control method
CN115539011A (en)*2022-09-202022-12-30中国煤炭科工集团太原研究院有限公司Automatic anchor rod drilling machine control system and control method

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